6 projects tagged "Scientific Computing"
Updated 16 Jun 2009
Punto
| Pop | 39.80 |
|---|---|
| Vit | 1.43 |
Punto is a tool for plotting particles. It reads particle data from a file and displays them in a window in several ways, like dots, circles, squares, and spheres. It can also plot vectorial fields. The output can be in one, two, or three dimensions. It is possible to zoom in and out, rotate in three dimensions, draw periodic images, and more. It can produce animations easily from your data files.
Updated 03 Jun 2009
Crux
| Pop | 19.77 |
|---|---|
| Vit | 1.00 |
Crux is a software toolkit for a molecular phylogenetic inference. It is structured as a set of Python modules, which makes it possible to quickly develop Python scripts that perform unique, non-canned analyses.
Updated 08 Mar 2011
Tiny Calculator
| Pop | 19.26 |
|---|---|
| Vit | 38.06 |
Tiny Calculator is a command line calculator for developers. It can resolve a complex expression mixing decimal, hexadecimal, and binary numbers. The result is automatically converted to decimal, hexadecimal, and binary formats.
Updated 28 Aug 2011
Regress Pro
| Pop | 30.92 |
|---|---|
| Vit | 2.03 |
Regress Pro is scientific and industrial software that can be used to study experimental data coming from spectroscopic ellipsometers or reflectometers. The program has been developed mainly looking to the application of thin film measurement in semiconductor industry. The software is suitable both to determine the thickness of the layers and to determine the optical properties of dielectric materials.
Updated 13 Sep 2010
MAF
| Pop | 21.02 |
|---|---|
| Vit | 31.35 |
MAF is a double-precision floating point number compressor. This package includes a program that can encode binary dump of double-precision floating point numbers into MAF format and decode the MAF-formatted image back to original double-precision numbers.
Updated 27 Dec 2012
Sally
| Pop | 102.12 |
|---|---|
| Vit | 8.90 |
Sally is a tool for mapping a set of strings to a set of vectors. This mapping is referred to as embedding and allows techniques of machine learning and data mining to be applied for the analysis of string data. It can be used with data such as text documents, DNA sequences, or log files. The vector space model or bag-of-words model is used. Strings are characterized by a set of features, where each feature is associated with one dimension of the vector space. Occurrences of the features in each string are counted. Alternatively, binary or TF-IDF values can be computed. Vectors can be output in plain text, LibSVM, or Matlab format.
